🔍 Tool Execution Analysis Report

Comprehensive analysis of tool performance and execution patterns
Generated on September 29, 2025 at 02:47 AM
Source: airline_gemini2_5_flash_10tasks_2t_enhanced_logs.json

📊 Executive Summary

20
Total Simulations
212
Total Tool Calls
0.27ms
Avg Execution Time
10
Unique Tools

💡 Key Insights

🎯 Performance Insights

  • 3 out of 10 tools have excellent performance (≥95% success rate)
  • get_reservation_details is the most frequently used tool with 104 calls
  • Overall system reliability: 57.4%

🔄 State Management Insights

  • 4 tools perform state changes, 7 are read-only
  • State-changing operations: 20 calls
  • Read-only operations: 192 calls

⚠️ Error Analysis

  • 23 total errors across 1 error types
  • Most problematic tool: get_reservation_details (11 errors)
  • Primary error type: ActionCheckFailure

🛠️ Tool Performance Analysis

Tool Name Total Calls Success Rate Avg Time (ms) Performance State Changes
get_reservation_details 104 14.4% 0.04ms Poor 0/104
get_user_details 34 29.4% 0.04ms Poor 0/34
transfer_to_human_agents 26 100.0% 1.80ms Excellent 0/26
book_reservation 12 8.3% 0.13ms Poor 6/12
cancel_reservation 10 20.0% 0.10ms Poor 10/10
get_flight_status 10 100.0% 0.04ms Excellent 0/10
search_direct_flight 10 30.0% 0.18ms Poor 0/10
calculate 2 100.0% 0.08ms Excellent 0/2
send_certificate 2 0.0% 0.06ms Poor 2/2
update_reservation_flights 2 0.0% 0.11ms Poor 2/2

🔄 State Change Analysis

Tool Name Category Calls Success Rate Avg Time (ms) Performance Rating
cancel_reservation State-Changing 10 100.0% 0.10ms Excellent
book_reservation State-Changing 6 100.0% 0.18ms Excellent
send_certificate State-Changing 2 100.0% 0.06ms Excellent
update_reservation_flights State-Changing 2 100.0% 0.11ms Excellent
get_reservation_details Read-Only 104 90.4% 0.04ms Good
get_user_details Read-Only 34 100.0% 0.04ms Excellent
transfer_to_human_agents Read-Only 26 100.0% 1.80ms Excellent
get_flight_status Read-Only 10 100.0% 0.04ms Excellent
search_direct_flight Read-Only 10 100.0% 0.18ms Excellent
book_reservation Read-Only 6 0.0% 0.08ms Poor
calculate Read-Only 2 100.0% 0.08ms Excellent

🔥 Failure Analysis

🎯 Root Cause Analysis

Total Failures

23

Error Rate

10.8%

Affected Tools

7

Error Categories

1

🚨 Primary Failure Modes

Action Check Failures

7 tools failed action validation checks:

  • get_reservation_details: 11 failures (42.3% rate)
    → Affected 5 simulation(s)
    → Example args: {'reservation_id': 'SDZQKO'}
  • cancel_reservation: 4 failures (66.7% rate)
    → Affected 3 simulation(s)
    → Example args: {'reservation_id': 'NQNU5R'}
  • get_user_details: 2 failures (16.7% rate)
    → Affected 2 simulation(s)
    → Example args: {'user_id': 'mei_brown_7075'}
  • update_reservation_flights: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'reservation_id': 'XEHM4B', 'cabin': 'economy', 'flights': [{'flight_number': 'HAT005', 'date': '20...
  • send_certificate: 2 failures (100.0% rate)
    → Affected 2 simulation(s)
    → Example args: {'user_id': 'noah_muller_9847', 'amount': 50}
  • book_reservation: 1 failures (50.0% rate)
    → Affected 1 simulation(s)
    → Example args: {'user_id': 'sophia_silva_7557', 'origin': 'ORD', 'destination': 'PHL', 'flight_type': 'one_way', 'c...
  • search_direct_flight: 1 failures (25.0% rate)
    → Affected 1 simulation(s)
    → Example args: {'origin': 'JFK', 'destination': 'MCO', 'date': '2024-05-22'}

⚡ Performance Impact Analysis

High-Usage Tools with Poor Performance
Tool Name Total Calls Success Rate Avg Time (ms)
get_reservation_details 104 14.4% 0.04ms
get_user_details 34 29.4% 0.04ms
book_reservation 12 8.3% 0.13ms
cancel_reservation 10 20.0% 0.10ms
search_direct_flight 10 30.0% 0.18ms
Slowest Tools by Execution Time
Tool Name Avg Time (ms) Total Calls Success Rate
transfer_to_human_agents 1.80ms 26 100.0%
search_direct_flight 0.18ms 10 30.0%
book_reservation 0.13ms 12 8.3%
update_reservation_flights 0.11ms 2 0.0%
cancel_reservation 0.10ms 10 20.0%

💡 Key Insights

  • Most problematic tool: get_reservation_details (11 failures)
  • Primary failure mode: Action validation failures suggest issues with tool argument validation or execution logic
  • Average tool success rate: 40.2%
  • ⚠️ Low overall success rate suggests systemic issues requiring investigation

🔧 Critical Recommendations

  1. Action Validation: Review and strengthen argument validation logic for failing tools
  2. Error Handling: Implement more robust error recovery mechanisms
  3. Performance Optimization: Focus on improving poor-performing tools with high usage
  4. Monitoring: Implement enhanced monitoring and alerting for tools with high failure rates
  5. Testing: Increase test coverage for identified problematic tool patterns

🔗 Tool Flow Analysis

Tool Sequence Patterns

Most common tool transitions:

  • get_reservation_detailsget_reservation_details (59 times)
  • get_user_detailsget_reservation_details (26 times)
  • get_reservation_detailstransfer_to_human_agents (16 times)
  • transfer_to_human_agentsget_user_details (15 times)
  • transfer_to_human_agentsget_reservation_details (9 times)

Recursive patterns: 5 tools frequently call themselves, indicating iterative processing patterns.

📋 Recommendations

🚨 High Priority Actions

  • Critical: System success rate is only 57.4%. Immediate investigation required.
  • High failure rate: 10.8% of calls are failing. Focus on error handling improvements.

⚡ Performance Optimizations

  • Fix failing tools: 7 tools need attention: get_reservation_details (10.6% failure), get_user_details (5.9% failure), book_reservation (8.3% failure)
  • Consider caching: High-usage tools could benefit from result caching: get_reservation_details, get_user_details

📈 Enhancement Opportunities

  • Monitoring setup: With 212 tool calls analyzed, implement automated monitoring dashboards.
  • Performance baselines: Establish SLA targets for your 10 tools based on current performance data.